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In the race to create the most powerful artificial intelligence (AI) models, technology companies such as OpenAI, Meta, and Google are constantly in search of new data sources. Often, they turn to the internet for the data they need, but this practice puts them at risk of copyright violations.

One example of this is OpenAI’s use of YouTube videos to train their GPT-4 language model. The company created a tool called Whisper that transcribed YouTube videos for use in their model, which goes against YouTube’s policies. Meanwhile, Meta collects vast amounts of data from the internet for its AI models, even if it is protected content that could lead to legal action.

Google, owner of YouTube, has also been accused of misusing content from creators who expect their work to be protected by the platform’s terms of service. The company reportedly used video transcriptions to train its AI models, which has raised ethical and legal concerns about copyrighted material.

As technology companies navigate the digital landscape driven by advancements in AI, they must walk a fine line between innovation and respecting intellectual property rights. The use of online data for training AI models highlights the complexities of this issue and underscores the importance of responsible practices in an era where technology continues to evolve rapidly.

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